Optimal design of microalgae-based biorefinery: Economics, opportunities and challenges
Optimal design of microalgae-based biorefinery: Economics, opportunities and challenges
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DOI：
10.1016/j.apenergy.2015.04.018
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发表时间：
2015-07
期刊：
影响因子：
11.2
通讯作者：
M. Rizwan;Jay H. Lee;R. Gani
中科院分区：
文献类型：
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作者：
M. Rizwan;Jay H. Lee;R. Gani
在生物精炼的广泛概念下，微藻作为一种原料生产各种最终产品的潜力很大。在之前的工作中，我们提出了一个基于超结构的优化模型来寻找从微藻生物质中生产生物柴油的最佳工艺路线，并确定了几个挑战，重点是利用提取的脂肪来生产经济和环境友好的有用能源产品。在本文中，我们通过考虑将微藻残渣作为废物处理的问题来扩展前面的优化框架。我们建立了一个扩展的生物精炼超结构模型，并在此基础上提出了一种混合整数非线性规划(MINLP)模型来确定具有不同目标函数选择的最优/有希望的生物精炼构型。利用建立在Excel中的数据库在GAMS中求解MINLP模型。进行经济敏感性分析，以阐述总体经济方面的潜在改善，并设定未来必须实现的目标，以使微藻生物燃料在经济上可行。
Microalgae have great potential as a feedstock for the production of a wide range of end-products under the broad concept of biorefinery. In an earlier work, we proposed a superstructure based optimization model to find the optimal processing pathway for the production of biodiesel from microalgal biomass, and identified several challenges with the focus being on utilizing lipids extracted microalgal biomass for economic and environmentally friendly production of useful energy products. In this paper, we expand the previous optimization framework by considering the processing of microalgae residue previously treated as wastes. We develop an expanded biorefinery superstructure model, based on which a mixed integer nonlinear programming (MINLP) model is proposed to determine the optimal/promising biorefinery configurations with different choices of objective functions. The MINLP model is solved in GAMS using a database built in Excel. Economic sensitivity analysis is performed to elaborate the potential improvements in the overall economics, and set the targets that must be achieved in the future in order for microalgal biofuels to become economically viable.